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At a Glance
Market Segments
Enterprise (56.5% of reviews)
Mid-Market (40.0% of reviews)
Entry-Level Pricing
No pricing available
Free Trial 30 Day Trial of IBM Process Mining as a Service.
Automation Anywhere
Star Rating
(5,544)4.5 out of 5
Market Segments
Enterprise (56.5% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Automation AnywhereIBM Process Mining
Star Rating
(157)4.7 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Entry-Level Pricing
Free Trial 30 Day Trial of IBM Process Mining as a Service.
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Process Mining excels in Quality of Support with a score of 9.7, while Automation Anywhere - RPA has a lower score of 8.7. Reviewers mention that the support team is responsive and knowledgeable, making it easier to resolve issues quickly.
- Reviewers mention that IBM Process Mining offers superior Process Management capabilities, particularly in Process Library and Collaboration, scoring 9.6 and 9.7 respectively. In contrast, Automation Anywhere - RPA scores slightly lower at 9.4 for both, indicating that IBM's features may be more robust for managing and collaborating on processes.
- Users on G2 highlight that IBM Process Mining's Real-Time Process Analysis feature, scoring 9.6, provides deeper insights compared to Automation Anywhere - RPA's score of 9.5. Reviewers say this allows for more immediate adjustments and optimizations in workflows.
- G2 users report that Automation Anywhere - RPA shines in RPA Integration with a score of 9.5, compared to IBM Process Mining's score of 9.1. Users mention that Automation Anywhere's integration capabilities with existing systems are seamless, making it a preferred choice for organizations looking to enhance their automation efforts.
- Users say that IBM Process Mining's Generative AI capabilities, particularly in AI Text Summarization, scored 7.6, which is lower than Automation Anywhere - RPA's score of 8.6. Reviewers mention that this could impact the efficiency of data processing and insights generation.
- Reviewers mention that Automation Anywhere - RPA has a more user-friendly Ease of Setup with a score of 8.3 compared to IBM Process Mining's score of 8.0. Users report that the onboarding process is straightforward, which is crucial for teams looking to implement automation quickly.
Pricing
Entry-Level Pricing
Automation Anywhere
No pricing availableIBM Process Mining
IBM Process Mining Trial
Free Trial
30 Day Trial of IBM Process Mining as a Service.
Discover the power of process intelligence with IBM Process Mining.
Start your 30-day free trial to explore how IBM Process Mining uncovers inefficiencies, monitors compliance, and delivers AI-powered insights for actionable results. Upload up to 1GB of data and experience the full platform (task mining excluded) in a secure and scalable environment.
- AI insights
- Workflow optimization
- Compliance monitoring
Free Trial
Automation Anywhere
Free Trial is available
IBM Process Mining
Free Trial is available
Ratings
Meets Requirements
8.8
3,573
9.6
132
Ease of Use
8.9
3,588
9.5
133
Ease of Setup
8.3
1,465
8.1
21
Ease of Admin
8.4
1,417
8.3
16
Quality of Support
8.7
3,436
9.7
129
Has the product been a good partner in doing business?
8.7
1,388
8.8
14
Product Direction (% positive)
9.1
3,504
9.7
128
Features by Category
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Service Desk
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - IT Service Management (ITSM) Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation Building
8.7
2579
|
Verified
Not enough data
8.7
2610
|
Verified
Not enough data
8.5
2502
|
Verified
Not enough data
8.6
2568
|
Verified
Not enough data
8.6
2492
|
Verified
Not enough data
9.1
997
|
Verified
Not enough data
Bot Management & Execution
8.9
2560
|
Verified
Not enough data
8.7
2537
|
Verified
Not enough data
8.6
2488
|
Verified
Not enough data
8.7
2391
|
Verified
Not enough data
9.1
972
|
Verified
Not enough data
9.0
972
|
Verified
Not enough data
Intelligent Automation
8.6
964
|
Verified
Not enough data
8.6
906
|
Verified
Not enough data
8.6
864
|
Verified
Not enough data
Agentic AI - Robotic Process Automation (RPA)
9.1
22
Not enough data
8.9
22
Not enough data
8.9
22
Not enough data
9.0
21
Not enough data
9.1
21
Not enough data
8.9
21
Not enough data
8.9
22
Not enough data
Platform Basics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform Data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform Additional Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Office 365 Management
Not enough data
Not enough data
Knowledge Pages
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Knowledge Dissemination
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Knowledge Base
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure Provision
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Process Management
9.3
81
9.6
116
9.3
80
9.7
117
9.2
80
9.3
117
9.2
80
9.4
119
Process Analysis
9.4
80
9.6
119
9.2
80
9.4
118
9.4
80
9.6
119
Automation
9.4
80
9.1
29
9.2
79
9.7
118
Generative AI
8.7
25
7.6
7
Agentic AI - Process Mining
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Digital Employee Experience (DEX) ManagementHide 12 FeaturesShow 12 Features
Not enough data
Not enough data
Experience
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
9.4
24
Not enough data
8.7
23
Not enough data
9.6
24
Not enough data
9.3
24
Not enough data
9.4
24
Not enough data
9.2
24
Not enough data
9.1
24
Not enough data
Generative AI
8.5
8
Not enough data
Workforce Management
9.2
24
Not enough data
9.3
24
Not enough data
Call Center Infrastructure (CCI)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administrative
9.3
24
Not enough data
9.7
24
Not enough data
Data Capture
8.7
57
Not enough data
8.5
57
Not enough data
Data Extraction
8.7
57
Not enough data
8.5
57
Not enough data
Data Validation
8.8
56
Not enough data
Workflow Automation
8.5
56
Not enough data
8.7
57
Not enough data
Document Management
8.7
56
Not enough data
8.5
57
Not enough data
Machine Learning
8.3
56
Not enough data
Natural Language Processing
8.1
56
Not enough data
Semantic Analysis
8.5
55
Not enough data
Data Integration
8.7
55
Not enough data
Security
8.7
57
Not enough data
8.9
57
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Orchestration
9.4
9
Not enough data
9.4
9
Not enough data
Integrations & Connectivity
9.3
9
Not enough data
8.3
9
Not enough data
Automation Execution & Intelligence
9.4
9
Not enough data
8.7
9
Not enough data
Development & Customization
9.4
9
Not enough data
8.9
9
Not enough data
Governance & Security
9.1
9
Not enough data
9.6
9
Not enough data
Reporting & Analytics
8.5
9
Not enough data
9.4
9
Not enough data
Agentic AI - Business Automation Platforms (BAPs)
8.6
7
Not enough data
9.3
7
Not enough data
8.8
7
Not enough data
8.6
7
Not enough data
9.3
7
Not enough data
9.3
7
Not enough data
Telemetry Collection & Ingestion - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Observability Software
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Visualization & Dashboards - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Correlation & Root Cause Analysis - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability & Ecosystem Integration - Observability
Not enough data
Not enough data
Not enough data
Not enough data
AI Features - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - SAP Store
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization & Analytics - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Compliance Controls - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Application Design
8.3
23
Not enough data
8.9
23
Not enough data
8.4
23
Not enough data
8.8
23
Not enough data
8.5
23
Not enough data
Data Control
8.6
23
Not enough data
8.3
23
Not enough data
8.6
23
Not enough data
Publishing
8.3
23
Not enough data
8.8
23
Not enough data
8.2
23
Not enough data
Agentic AI - Low-Code Development Platforms
8.9
12
Not enough data
9.7
11
Not enough data
8.9
11
Not enough data
Knowledge Base
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Content
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Communication
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Automation Anywhere and IBM Process Mining are categorized as Process Mining
Unique Categories
Automation Anywhere is categorized as AI Agent Builders, AI Orchestration, Digital Employee Experience (DEX) Management, Infrastructure as a Service (IaaS), IT Service Management (ITSM) Tools, Machine Learning, Master Data Management (MDM), Observability Software, Office 365 Management, Knowledge Base, Robotic Process Automation (RPA), Intelligent Document Processing (IDP), Business Automation Platforms (BAPs), Low-Code Development Platforms, SAP Store, and Call Center Infrastructure (CCI)
IBM Process Mining has no unique categories
Reviews
Reviewers' Company Size
Automation Anywhere
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Process Mining
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
29.5%
Computer Software
10.7%
Financial Services
6.5%
Banking
4.6%
Telecommunications
4.4%
Other
44.4%
Information Technology and Services
21.3%
Telecommunications
15.5%
Computer Software
6.5%
Marketing and Advertising
5.8%
Internet
4.5%
Other
46.5%
Alternatives
Discussions
Is there a convenient way for bots to read scanned PDF files?
10 Comments
PP
It depends on the quality of the scanned docs. There are some high end tools like AA IQBOT. But even they will fail if the quality is not good enough. If the...Read more
What's the best way to extract data if Object Cloning isn't working?
5 Comments
MR
If object cloning us not working for you please try OCR or IR. Read more
Sometimes when bot is running, I noticed that error screenshots as blank or black screen.Why?
5 Comments
VR
maybe internet slow. when the screen flickering the white screen appears, on that time screenshot will be takenRead more
How do IBM Process mining improves operational excellence
1 Comment
DK
Process Mining uses a data-driven approach to process discovery vs a traditional collaborative approach of mrocess modeling.
IBM Process Mining provides...Read more
IBM Process Mining has no more discussions with answers
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